Complete and complete moment convergence for weighted sums of widely orthant dependent random variables

In this paper, we establish a complete convergence result and a complete moment convergence result for weighted sums of widely orthant dependent random variables under mild conditions. As corollaries, the corresponding results for weighted sums of extended negatively orthant dependent random variables are also obtained, which generalize and improve the related known works in the literature.     

Complete Convergence for Weighted Sums of Negatively Sup eradditive Dep endent Random Variables

In the paper, the complete convergence for the maximum of weighted sums of negatively superadditive dependent(NSD, in short) random variables is investigated by using the Rosenthal type inequality. Some su?cient conditions are presented to prove the complete convergence. The result obtained in the paper generalizes some corresponding ones for independent random variables and negatively associated random variables.     

END随机变量阵列加权和的完全收敛性

利用END变量的R0senthal型矩不等式,研究了END随机阵列加权和的完全收敛性,给出了证明完全收敛性的一些充分条件.另外,还给出了证明完全收敛性的一个必要条件.所得结果推广了独立变量和若干相依变量的相应结果.     

宽相依随机变量加权和的强极限定理

Strong limit theorems are established for weighted sums of widely orthant dependent（WOD） random variables. As corollaries, the strong limit theorems for weighted sums of extended negatively orthant dependent（ENOD） random variables are also obtained, which extend and improve the related known works in the literature.     

次线性期望下负相依随机变量生成的滑动平均过程的完全q阶矩收敛

设${Y_i,-infty相似文献   

负相关随机变量加权和的强定律(英文)

在本文中我们讨论了不同分布负相关随机变量加权和的强定律.在一个有限矩生成函数的条件下,一些有关负相关随机变量加权和的强定律被获得.这些结果推广了Soo HakSung[4]关于独立同分布随机变量的相应结论.我们的结果也概括了Mi Hwa Ko和Tae SungKim[7]获得的相关结论,同时使得Nili Sani H R和Bozorgnia A[9]所取得的结果更加形象.     

渐近几乎负相关随机变量和的收敛性（英文）

本文运用渐近几乎负相关(简称AANA)随机序列的矩不等式与截尾的方法,得到了不同分布的AANA随机序列最大部分加权和完全矩收敛的充分必要条件.所得结果推广和改进了文献[15]、[16]和[17]相应的结论.     

行为负相依随机变量阵列加权和的完全收敛性

本文研究了行为NOD随机变量阵列加权和的完全收敛性.运用NOD随机变量列的矩不等式以及截尾的方法,得到了关于行为NOD随机变量阵列加权和的完全收敛性的充分条件.利用获得的充分条件,推广了Baek(2008)关于行为NA随机变量阵列加权和的完全收敛性的结论,得到了比吴群英(2012)更为一般的结果.     

行为ρ混合随机变量阵列的完全矩收敛性

本文假设 X ni ;i ≥1,n ≥{}1是一列行为？ρ混合随机变量阵列。在没有同分布和随机控制的假设条件下,作者讨论了？ρ混合随机变量的完全矩收敛性,所获得结果推广和改进了 Hu and Taylor （1997）,Zhu （2006）和 Wu and Zhu （2010）的相应定理。     

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??In this paper, by applying the moment inequality for asymptotically almost negatively associated (AANA, in short) random sequence and truncated method, the equivalent conditions of complete moment convergence of the maximum partial for weighted sums of AANA random variables are obtained without assumptions of identical distribution, which generalize and improve the corresponding ones of{15},{16} and {17}, respectively.     

一般矩条件下相依随机变量Sung型加权和的完全收敛性

在一般矩条件下,本文得到了END随机变量和PNQD随机变量的Sung型加权和的完全收敛性定理,这些定理推广了已知的一些文献中相应的结果.     

Lr Convergence for Arrays of Rowwise Negatively Sup eradditive Dep endent Random Variables

Let {Xnk, k≥1, n≥1} be an array of rowwise negatively superadditive depen-dent random variables and {an, n ≥ 1} be a sequence of positive real numbers such that an ↑ ∞. Under some suitable conditions, Lr convergence of a1n 1max≤j≤n ied. The results obtained in this paper generalize and improve some corresponding ones for negatively associated random variables and independent random variables. fl fl fl fl jP k=1 Xnk fl fl flfl is stud-ied. The results obtained in this paper generalize and improve some corresponding ones for negatively associated random variables and independent random variables.     

行内独立随机变量组列的完全收敛性

研究了B值随机元阵列的完全收敛性质.主要通过使用一些关于B值独立随机变量的矩不等式和E tem and i不等式,把相关文献中的主要结果从实值情况推广到了p(1 q 2)型的Banach空间中,同时把他们的定理条件进行了极大的简化.此外进一步弱化定理的条件,给出了其它形式的完全收敛定理.